Guardforce AI (NASDAQ:GFAI – Get Free Report) announced that its board has authorized a stock buyback program on Friday, February 20th, RTT News reports. The company plans to repurchase $5.00 million in outstanding shares. This repurchase authorization permits the company to buy up to 55.3% of its shares through open market purchases. Shares repurchase programs are often an indication that the company’s board believes its shares are undervalued.
Guardforce AI Stock Performance
GFAI stock opened at $0.53 on Monday. The company has a debt-to-equity ratio of 0.01, a quick ratio of 5.22 and a current ratio of 5.26. Guardforce AI has a twelve month low of $0.38 and a twelve month high of $1.50. The business has a fifty day moving average of $0.58 and a 200-day moving average of $0.87.
Wall Street Analyst Weigh In
GFAI has been the subject of several analyst reports. Weiss Ratings reissued a “sell (e+)” rating on shares of Guardforce AI in a report on Monday, December 29th. Wall Street Zen lowered shares of Guardforce AI from a “hold” rating to a “sell” rating in a report on Sunday, November 16th. One equities research analyst has rated the stock with a Buy rating and one has given a Sell rating to the company. Based on data from MarketBeat.com, Guardforce AI presently has an average rating of “Hold” and an average target price of $4.50.
About Guardforce AI
Guardforce AI Limited (NASDAQ:GFAI) is a developer of AI-powered robotics and automation solutions for security, health and service applications. Its offerings include autonomous patrol robots equipped with advanced computer vision and sensor fusion capabilities, disinfection robots utilizing UV and spray systems, and last-mile delivery units, all coordinated through a proprietary cloud-based management platform. These integrated solutions enable clients to enhance physical security, improve hygiene standards and optimize operational efficiency.
Established in 2021 and publicly listed on the Nasdaq stock exchange, Guardforce AI leverages its engineering expertise in machine learning algorithms and real-time analytics to meet the evolving needs of industries such as manufacturing, logistics, retail, healthcare and public infrastructure.
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